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Benchmark Report

Job Properties

Commits: JuliaLang/julia@2db75c28b9c322931eff15737686b23510b876a1 vs JuliaLang/julia@1512d6fd52ff830d0085b5a280448028fd95e58e

Comparison Diff: link

Triggered By: link

Tag Predicate: !"scalar"

Results

Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.

Below is a table of this job's results, obtained by running the benchmarks found in JuliaCI/BaseBenchmarks.jl. The values listed in the ID column have the structure [parent_group, child_group, ..., key], and can be used to index into the BaseBenchmarks suite to retrieve the corresponding benchmarks.

The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["array", "cat", ("hvcat", 5)] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", ("vcat_setind", 5)] 0.88 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 1.08 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 2)] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup_x3")] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "tup_tup")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 0.80 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 10)] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 1.15 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 3)] 0.95 (5%) ✅ 1.00 (1%)
["collection", "optimizations", ("Set", "concrete", "Nothing")] 1.57 (25%) ❌ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 0.92 (5%) ✅ 1.00 (1%)
["dates", "string", "Date"] 1.38 (5%) ❌ 1.00 (1%)
["dates", "string", "DateTime"] 1.12 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.84 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float32}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 0.90 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_opaque_closures"] 0.96 (5%) 0.95 (1%) ✅
["inference", "allinference", "many_opaque_closures"] 0.99 (5%) 0.99 (1%) ✅
["inference", "optimization", "REPL.REPLCompletions.completions"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "sin(42)"] 0.91 (5%) ✅ 1.00 (1%)
["io", "serialization", ("serialize", "Matrix{Float64}")] 1.10 (5%) ❌ 1.00 (1%)
["micro", "fib"] 1.09 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 1.53 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.65 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.84 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 1.09 (5%) ❌ 1.00 (1%)
["misc", "perf highdim generator"] 0.92 (5%) ✅ 1.00 (1%)
["shootout", "meteor_contest"] 0.93 (5%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 2, 31)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int32", 4096)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int32", 4096)] 0.68 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 50x500, dense 500x5 -> dense 50x5")] 1.37 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 50x500, dense 5x500 -> dense 50x5")] 1.31 (30%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.87 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.87 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), matrix rhs"] 0.93 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "equal"] 1.45 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.07 (5%) ❌ 1.00 (1%)
["string", "replace"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 0.68 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.42 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.31 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, Bool}", 0)] 0.95 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["alloc"]
  • ["array", "accumulate"]
  • ["array", "any/all"]
  • ["array", "bool"]
  • ["array", "cat"]
  • ["array", "comprehension"]
  • ["array", "convert"]
  • ["array", "equality"]
  • ["array", "growth"]
  • ["array", "index"]
  • ["array", "reductions"]
  • ["array", "reverse"]
  • ["array", "setindex!"]
  • ["array", "subarray"]
  • ["broadcast"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "mix_scalar_tuple"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["collection", "deletion"]
  • ["collection", "initialization"]
  • ["collection", "iteration"]
  • ["collection", "optimizations"]
  • ["collection", "queries & updates"]
  • ["collection", "set operations"]
  • ["dates", "accessor"]
  • ["dates", "arithmetic"]
  • ["dates", "construction"]
  • ["dates", "conversion"]
  • ["dates", "parse"]
  • ["dates", "query"]
  • ["dates", "string"]
  • ["find", "findall"]
  • ["find", "findnext"]
  • ["find", "findprev"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["io", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "chaosgame"]
  • ["problem", "fem"]
  • ["problem", "go"]
  • ["problem", "grigoriadis khachiyan"]
  • ["problem", "imdb"]
  • ["problem", "json"]
  • ["problem", "laplacian"]
  • ["problem", "monte carlo"]
  • ["problem", "raytrace"]
  • ["problem", "seismic"]
  • ["problem", "simplex"]
  • ["problem", "spellcheck"]
  • ["problem", "stockcorr"]
  • ["problem", "ziggurat"]
  • ["random", "collections"]
  • ["random", "randstring"]
  • ["random", "ranges"]
  • ["random", "sequences"]
  • ["random", "types"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "mergesort"]
  • ["sort", "quicksort"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.10.0-DEV.1060
Commit 2db75c28b9 (2023-04-18 05:03 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     345971 s      37005 s     327304 s   63788948 s          0 s
       #2  3900 MHz    5838399 s      23629 s     356526 s   58410674 s          0 s
       #3  3485 MHz     339564 s      23812 s     273653 s   63942745 s          0 s
       #4  3900 MHz     249384 s      21856 s     259884 s   63938222 s          0 s
  Memory: 31.313323974609375 GB (19882.609375 MB free)
  Uptime: 6.47915129e6 sec
  Load Avg:  1.08  1.02  1.01
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.10.0-DEV.1058
Commit 1512d6fd52 (2023-04-18 04:20 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     346967 s      37259 s     328398 s   63883122 s          0 s
       #2  3511 MHz    5932060 s      23629 s     358632 s   58412045 s          0 s
       #3  3900 MHz     340275 s      23812 s     273696 s   64039070 s          0 s
       #4  3900 MHz     249901 s      21856 s     259918 s   64034504 s          0 s
  Memory: 31.313323974609375 GB (19742.7265625 MB free)
  Uptime: 6.48886585e6 sec
  Load Avg:  1.0  1.03  1.01
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores